Data Engineering with dbt
This book shows you how dbt makes it easy to build professional data platforms using simple SQL. You’ll learn about the use of patterns, tests, and architecture in dbt to break the complexity of a data platform in its components, to let dbt handle the boilerplate code, and support automation and collaboration in your team with your git provider.
Offered by
Difficulty Level
Intermediate
Completion Time
19h16m
Language
English
About Book
Who Is This Book For?
This book is for data engineers, analytics engineers, BI professionals, and data analysts who want to learn how to build simple, futureproof, and maintainable data platforms in an agile way. Project managers, data team managers, and decision makers looking to understand the importance of building a data platform and foster a culture of high-performing data teams will also find this book useful. Basic knowledge of SQL and data modeling will help you get the most out of the many layers of this book. The book also includes primers on many data-related subjects to help juniors get started.
Data Engineering with dbt
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 19h16m total length
PI
Basics of SQL to transform data
Setting up your dbt Cloud development environment
Data modelling for data engineering
Analytics Engineering as the New Core of Data Engineering
Transforming data with dbt
Writing Maintainable Code
Working with Dimensional Data
Delivering Consistency In Your Code
Delivering Reliability In Your Data
Agile development
Collaboration
Deployment, Execution and Documentation Automation
Moving beyond basics
Enhancing Software Quality
Patterns for frequent use cases
Related Resources
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